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<span class="breadcrumb-node">GeoHash grid Aggregation</span>
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<span class="prev">
<a href="search-aggregations-bucket-geodistance-aggregation.html">« Geo Distance Aggregation</a>
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</div>
<div class="section">
<div class="titlepage"><div><div>
<h2 class="title">
<a id="search-aggregations-bucket-geohashgrid-aggregation"></a>GeoHash grid Aggregation<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/7.7/docs/reference/aggregations/bucket/geohashgrid-aggregation.asciidoc">edit</a>
</h2>
</div></div></div>
<p>A multi-bucket aggregation that works on <code class="literal">geo_point</code> fields and groups points into buckets that represent cells in a grid.
The resulting grid can be sparse and only contains cells that have matching data. Each cell is labeled using a <a href="http://en.wikipedia.org/wiki/Geohash" class="ulink" target="_top">geohash</a> which is of user-definable precision.</p>
<div class="ulist itemizedlist">
<ul class="itemizedlist">
<li class="listitem">
High precision geohashes have a long string length and represent cells that cover only a small area.
</li>
<li class="listitem">
Low precision geohashes have a short string length and represent cells that each cover a large area.
</li>
</ul>
</div>
<p>Geohashes used in this aggregation can have a choice of precision between 1 and 12.</p>
<div class="warning admon">
<div class="icon"></div>
<div class="admon_content">
<p>The highest-precision geohash of length 12 produces cells that cover less than a square metre of land and so high-precision requests can be very costly in terms of RAM and result sizes.
Please see the example below on how to first filter the aggregation to a smaller geographic area before requesting high-levels of detail.</p>
</div>
</div>
<p>The specified field must be of type <code class="literal">geo_point</code> (which can only be set explicitly in the mappings) and it can also hold an array of <code class="literal">geo_point</code> fields, in which case all points will be taken into account during aggregation.</p>
<div class="section">
<div class="titlepage"><div><div>
<h3 class="title">
<a id="_simple_low_precision_request"></a>Simple low-precision request<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/7.7/docs/reference/aggregations/bucket/geohashgrid-aggregation.asciidoc">edit</a>
</h3>
</div></div></div>
<div class="pre_wrapper lang-console">
<pre class="programlisting prettyprint lang-console">PUT /museums
{
    "mappings": {
          "properties": {
              "location": {
                  "type": "geo_point"
              }
          }
    }
}

POST /museums/_bulk?refresh
{"index":{"_id":1}}
{"location": "52.374081,4.912350", "name": "NEMO Science Museum"}
{"index":{"_id":2}}
{"location": "52.369219,4.901618", "name": "Museum Het Rembrandthuis"}
{"index":{"_id":3}}
{"location": "52.371667,4.914722", "name": "Nederlands Scheepvaartmuseum"}
{"index":{"_id":4}}
{"location": "51.222900,4.405200", "name": "Letterenhuis"}
{"index":{"_id":5}}
{"location": "48.861111,2.336389", "name": "Musée du Louvre"}
{"index":{"_id":6}}
{"location": "48.860000,2.327000", "name": "Musée d'Orsay"}

POST /museums/_search?size=0
{
    "aggregations" : {
        "large-grid" : {
            "geohash_grid" : {
                "field" : "location",
                "precision" : 3
            }
        }
    }
}</pre>
</div>
<div class="console_widget" data-snippet="snippets/468.console"></div>
<p>Response:</p>
<div class="pre_wrapper lang-console-result">
<pre class="programlisting prettyprint lang-console-result">{
    ...
    "aggregations": {
        "large-grid": {
            "buckets": [
                {
                    "key": "u17",
                    "doc_count": 3
                },
                {
                    "key": "u09",
                    "doc_count": 2
                },
                {
                    "key": "u15",
                    "doc_count": 1
                }
            ]
        }
    }
}</pre>
</div>
</div>

<div class="section">
<div class="titlepage"><div><div>
<h3 class="title">
<a id="_high_precision_requests"></a>High-precision requests<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/7.7/docs/reference/aggregations/bucket/geohashgrid-aggregation.asciidoc">edit</a>
</h3>
</div></div></div>
<p>When requesting detailed buckets (typically for displaying a "zoomed in" map) a filter like <a class="xref" href="query-dsl-geo-bounding-box-query.html" title="Geo-bounding box query">geo_bounding_box</a> should be applied to narrow the subject area otherwise potentially millions of buckets will be created and returned.</p>
<div class="pre_wrapper lang-console">
<pre class="programlisting prettyprint lang-console">POST /museums/_search?size=0
{
    "aggregations" : {
        "zoomed-in" : {
            "filter" : {
                "geo_bounding_box" : {
                    "location" : {
                        "top_left" : "52.4, 4.9",
                        "bottom_right" : "52.3, 5.0"
                    }
                }
            },
            "aggregations":{
                "zoom1":{
                    "geohash_grid" : {
                        "field": "location",
                        "precision": 8
                    }
                }
            }
        }
    }
}</pre>
</div>
<div class="console_widget" data-snippet="snippets/469.console"></div>
<p>The geohashes returned by the <code class="literal">geohash_grid</code> aggregation can be also used for zooming in. To zoom into the
first geohash <code class="literal">u17</code> returned in the previous example, it should be specified as both <code class="literal">top_left</code> and <code class="literal">bottom_right</code> corner:</p>
<div class="pre_wrapper lang-console">
<pre class="programlisting prettyprint lang-console">POST /museums/_search?size=0
{
    "aggregations" : {
        "zoomed-in" : {
            "filter" : {
                "geo_bounding_box" : {
                    "location" : {
                        "top_left" : "u17",
                        "bottom_right" : "u17"
                    }
                }
            },
            "aggregations":{
                "zoom1":{
                    "geohash_grid" : {
                        "field": "location",
                        "precision": 8
                    }
                }
            }
        }
    }
}</pre>
</div>
<div class="console_widget" data-snippet="snippets/470.console"></div>
<div class="pre_wrapper lang-console-result">
<pre class="programlisting prettyprint lang-console-result">{
    ...
    "aggregations" : {
        "zoomed-in" : {
            "doc_count" : 3,
            "zoom1" : {
                "buckets" : [
                    {
                        "key" : "u173zy3j",
                        "doc_count" : 1
                    },
                    {
                        "key" : "u173zvfz",
                        "doc_count" : 1
                    },
                    {
                        "key" : "u173zt90",
                        "doc_count" : 1
                    }
                ]
            }
        }
    }
}</pre>
</div>
<p>For "zooming in" on the system that don’t support geohashes, the bucket keys should be translated into bounding boxes using
one of available geohash libraries. For example, for javascript the <a href="https://github.com/sunng87/node-geohash" class="ulink" target="_top">node-geohash</a> library
can be used:</p>
<div class="pre_wrapper lang-js">
<pre class="programlisting prettyprint lang-js">var geohash = require('ngeohash');

// bbox will contain [ 52.03125, 4.21875, 53.4375, 5.625 ]
//                   [   minlat,  minlon,  maxlat, maxlon]
var bbox = geohash.decode_bbox('u17');</pre>
</div>
</div>

<div class="section">
<div class="titlepage"><div><div>
<h3 class="title">
<a id="_requests_with_additional_bounding_box_filtering"></a>Requests with additional bounding box filtering<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/7.7/docs/reference/aggregations/bucket/geohashgrid-aggregation.asciidoc">edit</a>
</h3>
</div></div></div>
<p>The <code class="literal">geohash_grid</code> aggregation supports an optional <code class="literal">bounds</code> parameter
that restricts the points considered to those that fall within the
bounds provided. The <code class="literal">bounds</code> parameter accepts the bounding box in
all the same <a class="xref" href="query-dsl-geo-bounding-box-query.html#query-dsl-geo-bounding-box-query-accepted-formats" title="Accepted Formats">accepted formats</a> of the
bounds specified in the Geo Bounding Box Query. This bounding box can be used with or
without an additional <code class="literal">geo_bounding_box</code> query filtering the points prior to aggregating.
It is an independent bounding box that can intersect with, be equal to, or be disjoint
to any additional <code class="literal">geo_bounding_box</code> queries defined in the context of the aggregation.</p>
<a id="geohashgrid-aggregation-with-bounds"></a><div class="pre_wrapper lang-console">
<pre class="programlisting prettyprint lang-console">POST /museums/_search?size=0
{
    "aggregations" : {
        "tiles-in-bounds" : {
            "geohash_grid" : {
                "field" : "location",
                "precision" : 8,
                "bounds": {
                  "top_left" : "53.4375, 4.21875",
                  "bottom_right" : "52.03125, 5.625"
                }
            }
        }
    }
}</pre>
</div>
<div class="console_widget" data-snippet="snippets/471.console"></div>
<div class="pre_wrapper lang-console-result">
<pre class="programlisting prettyprint lang-console-result">{
    ...
    "aggregations" : {
        "tiles-in-bounds" : {
           "buckets" : [
               {
                 "key" : "u173zy3j",
                 "doc_count" : 1
               },
               {
                 "key" : "u173zvfz",
                 "doc_count" : 1
               },
               {
                 "key" : "u173zt90",
                 "doc_count" : 1
               }
           ]
        }
    }
}</pre>
</div>
</div>

<div class="section">
<div class="titlepage"><div><div>
<h3 class="title">
<a id="_cell_dimensions_at_the_equator"></a>Cell dimensions at the equator<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/7.7/docs/reference/aggregations/bucket/geohashgrid-aggregation.asciidoc">edit</a>
</h3>
</div></div></div>
<p>The table below shows the metric dimensions for cells covered by various string lengths of geohash.
Cell dimensions vary with latitude and so the table is for the worst-case scenario at the equator.</p>
<div class="informaltable">
<table border="0" cellpadding="4px">
<colgroup>
<col>
<col>
</colgroup>
<tbody valign="top">
<tr>
<td valign="top">
<p>
<span class="strong strong"><strong>GeoHash length</strong></span>
</p>
</td>
<td valign="top">
<p>
<span class="strong strong"><strong>Area width x height</strong></span>
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
1
</p>
</td>
<td valign="top">
<p>
5,009.4km x 4,992.6km
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
2
</p>
</td>
<td valign="top">
<p>
1,252.3km x 624.1km
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
3
</p>
</td>
<td valign="top">
<p>
156.5km x 156km
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
4
</p>
</td>
<td valign="top">
<p>
39.1km x 19.5km
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
5
</p>
</td>
<td valign="top">
<p>
4.9km x 4.9km
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
6
</p>
</td>
<td valign="top">
<p>
1.2km x 609.4m
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
7
</p>
</td>
<td valign="top">
<p>
152.9m x 152.4m
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
8
</p>
</td>
<td valign="top">
<p>
38.2m x 19m
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
9
</p>
</td>
<td valign="top">
<p>
4.8m x 4.8m
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
10
</p>
</td>
<td valign="top">
<p>
1.2m x 59.5cm
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
11
</p>
</td>
<td valign="top">
<p>
14.9cm x 14.9cm
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
12
</p>
</td>
<td valign="top">
<p>
3.7cm x 1.9cm
</p>
</td>
</tr>
</tbody>
</table>
</div>
</div>

<div class="section">
<div class="titlepage"><div><div>
<h3 class="title">
<a id="_options_3"></a>Options<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/7.7/docs/reference/aggregations/bucket/geohashgrid-aggregation.asciidoc">edit</a>
</h3>
</div></div></div>
<div class="informaltable">
<table border="0" cellpadding="4px">
<colgroup>
<col>
<col>
</colgroup>
<tbody valign="top">
<tr>
<td valign="top">
<p>
field
</p>
</td>
<td valign="top">
<p>
Mandatory. The name of the field indexed with GeoPoints.
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
precision
</p>
</td>
<td valign="top">
<p>
Optional. The string length of the geohashes used to define
cells/buckets in the results. Defaults to 5.
The precision can either be defined in terms of the integer
precision levels mentioned above. Values outside of [1,12] will
be rejected.
Alternatively, the precision level can be approximated from a
distance measure like "1km", "10m". The precision level is
calculate such that cells will not exceed the specified
size (diagonal) of the required precision. When this would lead
to precision levels higher than the supported 12 levels,
(e.g. for distances &lt;5.6cm) the value is rejected.
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
bounds
</p>
</td>
<td valign="top">
<p>
Optional. The bounding box to filter the points in the bucket.
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
size
</p>
</td>
<td valign="top">
<p>
Optional. The maximum number of geohash buckets to return
(defaults to 10,000). When results are trimmed, buckets are
prioritised based on the volumes of documents they contain.
</p>
</td>
</tr>
<tr>
<td valign="top">
<p>
shard_size
</p>
</td>
<td valign="top">
<p>
Optional. To allow for more accurate counting of the top cells
returned in the final result the aggregation defaults to
returning <code class="literal">max(10,(size x number-of-shards))</code> buckets from each
shard. If this heuristic is undesirable, the number considered
from each shard can be over-ridden using this parameter.
</p>
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